Triple
T6511794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candy Clark |
E150153
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Clark |
E119775
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Clark | Statement: [Candy Clark, familyName, Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark Context triple: [Candy Clark, familyName, Clark]
-
A.
Clark
chosen
Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
-
B.
Clark
Clark is the middle name of Herbert Hoover, the 31st president of the United States.
-
C.
Clayton
Clayton is the protagonist of Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp," through whom themes of morality, justice, and the complexities of slavery are explored.
-
D.
Clayton
Clayton is a district in east Manchester, England, known for its residential character and proximity to the city’s industrial and sporting landmarks.
-
E.
Clayton
Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6421748190b8f2b77c77b153bc |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:44 p.m.